2016-12-09T15:26:31ZSomatic variability in wild boar (Sus scrofa L.) in different areas of Central Italyhttp://hdl.handle.net/2067/1490
Title: Somatic variability in wild boar (Sus scrofa L.) in different areas of Central Italy
Authors: Amici, Andrea; Serrani, Fioravante; Adriani, Settimio
Abstract: A survey of wild boar shot during two consecutive years (hunting seasons 2002-2004) was carried out in order to evaluate which somatic measurements are most significant in identifying and discriminating among different morphotypes in central Italy. Biometric data from 688 wild boars was collected in three different areas of central Italy, two in Viterbo and one in the Province of Rieti. The following somatic measurements were individually recorded for each specimen: head-body length, height at withers, hind-foot length, ear length, ear-snout distance and ear-shoulder distance. Body weight was registered, and age was estimated from tooth eruption and wear. The animals were divided into three age classes; young (aged less then 12 months), sub-adults (aged between 12 and 36 months), and adults (36 months and older). After a preliminary ANOVA procedure, which did not give satisfactory results, a statistical analysis was performed using a canonical discriminant procedure, given an a priori classification (geographical area) and several quantitative variables (somatic measurements and weight). The separation between areas was estimated calculating the squared distance of Mahalanobis. The data referring to all 688 specimens was subjected to factor analysis. The results of the canonical discriminant analysis highlight the existence of two distinct groups within all three age classes. There is a statistically significant difference between the southern- Maremma (SM) vs the Apennine (A) and sub-Apennine (SA) areas, for young (P<0.0001), sub-adults (P<0.001) and adults (P<0.001). The difference between the A and SA areas was significant only for sub-adults (P<0.05). The first canonical variable account for 92.5, 92.7 and 89.9% of the total variance for the three age classes respectively, but this is unequally correlated with the original variables suggesting that the separation between the two areas is due to differences in conformation rather than in body size. On the basis of the discriminant analysis large part of the animals were correctly categorised in the sampling areas. As regards the factor analysis results for the adult group, the first three common factors are able to explain 78, 92, and 64% of the covariance for the data of the SM, A and SA groups respectively. These results suggest that, for the SM group, a differentiation among morphotypes may be possible on the basis of a few somatic measurements. These results confirm the need for biochemical and genetic studies to identify if the different morphotypes refer to the autochthonous wild boar strain.2010-12-31T23:00:00ZIl cinghiale e la farfallahttp://hdl.handle.net/2067/2266
Title: Il cinghiale e la farfalla
Authors: Amici, Andrea; Paparatti, Bruno; Serrani, Fioravante; Speranza, Stefano
Abstract: Analisi preliminare di interazione tra le infestazioni dei boschi legate alla limantria e le popolazioni di cinghiale.2003-12-31T23:00:00ZInterazione tra il cinghiale (Sus scrofa) e le attività antropiche con particolare riferimento al sistema agro-silvo-pastoralehttp://hdl.handle.net/2067/2574
Title: Interazione tra il cinghiale (Sus scrofa) e le attività antropiche con particolare riferimento al sistema agro-silvo-pastorale
Authors: Serrani, Fioravante
Abstract: Uno dei problemi più rilevanti derivanti dalla presenza di ungulati e la diffusione in Europa e in
Italia è il danno alle colture agricole e ai pascoli che ammontano a diversi milioni di € ogni anno. In
questo contesto, l'obiettivo dello studio è di analizzare i principali fattori che influenzano danni alle
colture in una zona mediterranea del centro Italia caratterizzata da un’agricoltura a chiazze,
particolare attenzione viene posta allo stato dell’agricoltura e ai criteri di gestione caccia legale
della specie. Con l'analisi in ambiente GIS sono stati considerati un gran numero di parametri
territoriali sia a scala di paesaggio che locale, compresi la topografia, l’uso del suolo e la gestione
agricola. Inoltre, sono state inserite variabili quali il numero di cinghiali abbattuti, la gestione e la
presenza/assenza di aree a protezione, aree a gestione programmata della caccia (ATC), o privata
della caccia (AFV). I dati di ciascun esagono sono stati sottoposti ad un generalizzato binomio
regressione logistica multipla in grado di identificare le variabili che influenzano in modo
significativo la probabilità di verificarsi di danni alle colture. Il contributo relativo delle variabili del
modello risultante è stato valutato utilizzando il test di Wald. Il modello ha mostrato una precisione
di 0,76, un tasso di errata classificazione di 0,24 e un Odds-ratio del 10,41. Le variabili più
importanti che predicono danni alle colture sono state la distanza dal bosco in aree a protezione (P
<0,001), il cosiddetto "effetto rifugio" (P <0,001), la presenza di fiumi (P <0,05), e l’effetto margine
del bosco (P <0,001). Il numero medio di cinghiali abbattuti ha un’incidenza significativa (P <0,05).; One of the most relevant problems arising from the presence and spread of ungulates in Europe and
in Italy is the damage to agricultural crops and grasslands which amount to several million €uro
every year. In this contest the aim of the study is to analyze the main factors affecting crop damage
in a Mediterranean area of central Italy characterised by a patchy agriculture, particular attention is
given to agricultural and hunting management criteria and legal status of the species. With
automated GIS analysis we derive a large number of terrain parameters on a landscape and local
scale, including topography, land use, and agricultural management. Also, variables such as number
of wild boar shot down, hunting management and legal status of wild boar were calculated. The
data of each hexagon were submitted to a generalized binomial stepwise multiple logistic regression
able to identify the variables significantly affecting the probability of occurrence of crop damage.
The relative contribution of variables to the resulting model was assessed using the Wald test. The
model showed an accuracy of 0.76, a misclassification rate of 0.24 and an Odds-ratio of 10.41. The
most important variables predicting crop damage were proximity to woods where hunting is banned
(P<0.001), the so called “refuge effect” (P<0.001), the presence of rivers (P<0.05), and the forest
edge (P<0.001). The mean number of wild boar shot has a significant incidence (P<0.05).
Description: Dottorato di ricerca in Scienze e tecnologie per la gestione forestale e ambientale2012-05-09T22:00:00Z